2025/2026 "TEIDA" Lietuvos moterų tinklinio čempionatas

Competition

2025/2026 "TEIDA" Lietuvos moterų tinklinio čempionatas Best players WING SPIKER
PlayerPlayedServeServeBlockBlockAttackAttackReceptionReceptionRanking
  MS#=/TotSv ind.Sv ind.#=/TotBl ind.Bl ind.#=/TotSp ind.Sp ind.#=/TotRc ind.Rc ind.Index

1

RAULUŠEVIČIŪTĖ Viliūnė
(TK "Kaunas - VDU")

4

11

8

5

1

47

0.0191

0.0191

0

4

0

9

0

0

33

4

3

69

4.1449

4.1449

7

1

0

35

0.5143

0.5143

0.21843

2

IVČENKAITĖ Diana
(Sostinės "Tauras - VTC")

3

12

8

6

0

46

0.0139

0.0139

3

10

0

32

0.0052

0.0052

35

11

4

90

2.6667

2.6667

13

7

2

73

0.5342

0.5342

0.20576

3

ŠIDLAUSKAITĖ Miglė
(TK "Kaunas - VDU")

3

6

4

4

1

27

0.0147

0.0147

1

0

0

1

0.0029

0.0029

10

2

0

26

1.8462

1.8462

6

0

0

16

0.5625

0.5625

0.19822

4

DEDURAITĖ Meda
(Sostinės "Tauras - VTC")

4

15

6

3

1

37

0.009

0.009

5

10

0

31

0.0064

0.0064

29

6

5

77

3.5065

3.5065

8

5

2

54

0.5

0.5

0.19487

5

MAKAUSKAITĖ Eglė
(TK "Kaunas - VDU")

3

8

2

2

3

41

0.014

0.014

0

4

0

6

0

0

14

1

0

49

2.1224

2.1224

6

4

2

42

0.5

0.5

0.19199

6

NUTAUTAITĖ Gintarė
(„Aušrinė-JSC“)

6

22

6

8

3

81

0.0092

0.0092

2

6

0

20

0.002

0.002

70

14

10

201

5.0348

5.0348

18

11

3

108

0.3889

0.3889

0.1917

7

BARKAUSKAITĖ Emilija
(„Aušrinė-JSC“)

6

19

10

12

2

65

0.0123

0.0123

0

14

0

22

0

0

41

9

15

134

2.4104

2.4104

18

8

1

135

0.5333

0.5333

0.18734

8

KALIS Marija
(Vilniaus universitetas)

5

14

9

7

2

40

0.0135

0.0135

0

2

0

7

0

0

26

13

5

98

1.1429

1.1429

12

5

2

47

0.5106

0.5106

0.18622

9

KIAUŠAITĖ Kamilė
(„Aušrinė-JSC“)

6

22

5

6

1

63

0.0061

0.0061

6

8

0

28

0.0061

0.0061

50

15

8

160

3.7125

3.7125

11

3

2

45

0.4667

0.4667

0.18416

10

RADAVIČIŪTĖ Rusnė
(Sostinės "Tauras - VTC")

4

12

4

5

0

36

0.0051

0.0051

5

18

1

51

0.0064

0.0064

35

8

7

75

3.2

3.2

7

6

1

54

0.5

0.5

0.18083

11

BUKANTYTĖ Jovita
(Vilniaus universitetas)

6

22

2

5

1

81

0.0029

0.0029

2

21

0

50

0.002

0.002

73

13

5

186

6.5054

6.5054

34

7

4

117

0.5983

0.5983

0.17733

12

BRAZDAUSKYTĖ Marija
(„Aušrinė-JSC“)

6

17

6

1

1

48

0.0072

0.0072

2

9

0

22

0.002

0.002

19

11

2

73

1.3973

1.3973

0

0

0

3

1

1

0.17009

13

PATKAUSKAITĖ Gabija
(Vilniaus universitetas)

6

20

4

1

1

44

0.0049

0.0049

1

19

0

39

0.001

0.001

36

12

13

156

1.4103

1.4103

11

6

4

96

0.5521

0.5521

0.16253

14

NARIJAUSKAITĖ Miglė
(Sostinės "Tauras - VTC")

1

2

0

1

0

3

0

0

1

1

0

8

0.005

0.005

6

0

0

10

1.2

1.2

0

0

0

0

0

0

0.15387

15

RAULYNAITĖ Agnė
(Vilniaus universitetas)

5

9

2

3

0

17

0.0022

0.0022

2

9

0

15

0.0022

0.0022

8

1

1

20

2.7

2.7

1

4

0

17

0.2941

0.2941

0.15092

16

KOZINOGLU Nazli
(TK "Kaunas - VDU")

4

8

0

2

0

10

0

0

0

2

0

8

0

0

5

0

1

9

3.5556

3.5556

4

2

0

15

0.6

0.6

0.14105

17

SAKALAUSKAITĖ Vaiva
(Sostinės "Tauras - VTC")

2

5

0

2

0

4

0

0

0

4

0

10

0

0

1

1

1

7

-0.7143

-0.7143

0

1

2

8

0.125

0.125

0.14105

Ranking Calculation

Wing-spiker

the ranking takes into account:

  • Serve Index (Sv ind.): positive serves divided the total points of both teams (ranking is available only if the player has made at least one serve per set)

  • Reception Index (Rc ind.): positive receptions minus negative receptions divided the total receptions (ranking is available only if the player has made at least three receptions per set)

  • Attack Index (Sp ind.): positive attacks minus negative attacks divided the total attacks (ranking is available only if the player has made at least three attacks per set)

  • Block Index (Bl ind.): positive blocks divided the total points of both teams

The final ranking is based on the final “index” which determines the impact of the role on the game, in other words the importance of the role towards the win probability. This final Index is calculated considering the indexes for each single skill (“ind.” columns) and a coefficient which indicates the “importance” of the role to determine the probability of success for the team. Each single skill index is calculated considering the positive and negative skills based on the number of points played from the teams and multiplied for a coefficient which indicates the importance of the skill for that role to determine the probability of success for the team. The icons next to each skill column give an idea about the “weight” of the skill determining the probability of success for the team in this role. The final Index is calculated also considering the following criteria:

  • Minimum number of Serves per set:  1

  • Minimum number of Receptions per set:  3

  • Minimum number of Spikes per set:  3

Serve

  • # serve ace

  • / half point

  • = serve error

Reception

  • # perfect

  • / half point

  • = error

Attack

  • # point

  • / blocked

  • = error

Block

  • # point

  • / Net touch

  • = hand out

Filters applied

  • Minimum number of Matches played:  1